@inproceedings{2ca4c23335f445e3ac0e7e53bcdcab44,
title = "Convolutional neural networks for correcting english article errors",
abstract = "In this paper, convolutional neural networks are employed for English article error correction. Instead of employing features relying on human ingenuity and prior natural language processing knowledge, the words surrounding the context of the article are taken as features. Our approach could be trained both on an error annotated corpus and an error non-annotated corpus. Experiments are conducted on CoNLL-2013 data set. Our approach achieves 38.10\% in F1, and outperforms the best system (33.40 \%) that participates in the task. Experimental results demonstrate the effectiveness of our proposed approach.",
keywords = "Article error correction, Convolutional neural networks, Deep learning",
author = "Chengjie Sun and Xiaoqiang Jin and Lei Lin and Yuming Zhao and Xiaolong Wang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 4th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2015 ; Conference date: 09-10-2015 Through 13-10-2015",
year = "2015",
doi = "10.1007/978-3-319-25207-0\_9",
language = "英语",
isbn = "9783319252063",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "102--110",
editor = "Heng Ji and Dongyan Zhao and Yansong Feng and Juanzi Li",
booktitle = "Natural Language Processing and Chinese Computing - 4th CCF Conference, NLPCC 2015, Proceedings",
address = "德国",
}